Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by PIYAWASIN PIKROR-NGARN
December 22, 2024
13 hours (approximately)
PIYAWASIN PIKROR-NGARN's account is verified. Coursera certifies their successful completion of Build, Train and Deploy ML Models with Keras on Google Cloud
What you will learn
Design and build a TensorFlow input data pipeline.
Use the tf.data library to manipulate data in large datasets.
Use the Keras Sequential and Functional APIs for simple and advanced model creation.
Train, deploy, and productionalize ML models at scale with Vertex AI.
Skills you will gain
- Category: Tensorflow
- Category: Feature Engineering
- Category: MLOps (Machine Learning Operations)
- Category: Model Deployment
- Category: Data Pipelines
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Google Cloud Platform
- Category: Deep Learning
- Category: Cloud Deployment
- Category: Keras (Neural Network Library)
- Category: Python Programming
